In the course Introduction to Data Science with Google Analytics: Bridging Business and Technical Experts, candidates can learn how to analyze data to take decisions. The course helps one understand how an organization can shake hands with analytics experts to perceive data better. One will learn nuances of data science through Google Analytics, which is an industry standard. Once can also learn ways to create and use tracking codes, as well as see types of data produced by it. Towards the end of the course, one can develop better practical skills in data science which can be used immediately for further growth in the field of data science.

The General Data Protection Regulation (GDPR) is designed to balance the need for businesses’ and customers’ data information to flow freely, and the need to protect the rights of the individual. As a professional you need to be aware of the legal requirements of the GDPR so you can ensure your organisation is compliant. On this course you will get a thorough introduction to GDPR so you can grow your understanding of protecting personal data and be able to handle data in the digital economy appropriately.

Learn to Tell A Story with Data - Learn to actuate a better understanding of data through visualization by applying Edward Tufte’s Design Principles, get hands on with R and Tableau - Tell a true story based on data.
| Demystify Visual Communication - Learn the components, guidelines, data sources of a great visual communication. | Present Data Better - Whether statistical, (un)structured, or time series data, learn the right techniques of visualizing multidimensional data in 2D. | Get jobs in industries like telecom, e-commerce, manufacturing, advertising and media.

The University of Chicago Graham School and Jigsaw Academy, India’s top online school for analytics, together provide students with the superior training necessary to draw insights from real data and to apply analytical skills to solve real problems with the launch of the Integrated Program in Data Science and Machine Learning (IDM). IDM is highly applied in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the analytical needs of various industry sectors. | This program is a blend of in-person and online classes that will include hands-on learning in the Jigsaw Lab and projects & seminars by industry leaders. All the in-person sessions will be held in Bangalore, India. The content and curriculum for the course have been jointly designed by lecturers from UChicago and industry experts from Jigsaw Academy.

Edvancer’s Post Graduate Certification In Data Science & Artificial Intelligence (PGC-DSAI) is a 6 month weekend classroom program for working professionals & freshers alike looking to start or make a switch into a data science & AI career. This program is one of the most comprehensive ones available in India and covers each and every aspect of this world of data science. It will equip you with all the technologies, conceptual knowledge and skillsets that you need to crack any data science & AI interview, transition into a career in this field and prosper in it. This is a course designed to get you a job in data science | Edvancer is India's leading data science training institute where we provide a range of courses on data science to all levels of learners. We have trained over 5,000 students and delivered over 10,00,000+ hours of learning. Our alumni work with some of India's top companies in data science and even globally. Our corporate clients include PwC, E&Y, L&T, HP, JP Morgan, Cognizant, Accenture, TCS, Microsoft etc

The Big Data and Machine Learning Prodegree, in association with IBM as the EdTech Partner, is a first-of-its-kind 160-hour certification course providing in-depth exposure to Data Science, Big Data, Machine Learning and Deep Learning. The rigorous industry-aligned curriculum offers a comprehensive understanding of Python, Spark and Hadoop for careers in Machine Learning and Big Data. The program also features seven industry projects and periodic interaction with industry leaders in the Machine Learning Ecosystem.

Tableau is groundbreaking data visualization software that connects easily to nearly any data source. It allows for immediate insight by transforming data into visually appealing interactive visualizations called dashboards. This is achieved on the fly by way of an easy to use drag-and-drop interface. The goal of data visualization is to communicate information clearly and efficiently to users. In this course, you will learn your way around the Tableau interface, how to make data connections, and use parameters for filtering. This course uses Tableau 9.0. Tableau allows for immediate data transformations by using a drag-and-drop easy to use interface that builds and customizes the dashboards in seconds. Effective visualization helps users in analyzing and reasoning about data and evidence. In this course, you will learn about the top chart types, custom calculations, and dashboards. This course uses Tableau 9.0.

It is becoming more common to present data in a visual way to engage audiences with what the data is saying. To ensure the audiences understand what is being presented, effective data visualizations need to be created, and this all starts with knowing who your audience is and what your data is all about. In this course, you'll learn the essentials of creating great data visualizations and how to use different forms of data visualizations.

In order to adopt Big Data, senior leadership must be able to establish investment priorities, balance speed and cost, and ensure acceptance by the front line. But they must also build a plan based on data, analytic models, and tools. In this course, you will compare scaling up to scaling out, identify different analytical models, and learn how to secure funding for data initiatives.

Big data dramatically impacts all aspects of business culture. Companies need to evolve from their traditional methods and practices to be able to use big data to improve their organization. In this course we will examine the impacts of big data from the marketing perspective. we will look at how the mobile effect has changed marketing, how purchasing habits have changed and what impact datafying consumer behavior has done.

By proactively dealing with privacy issues, organizations can safely leverage Big Data while still retaining customers, and avoiding reputational harm, litigation, and regulatory scrutiny. In this course, you will examine privacy concerns, how data can be used ethically, and what to do about social media.

Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.

Big data leaders must have skill sets that differ from what leaders of the past had. They must be able to show how big data generates value; how investments in big data initiatives should be targeted; and how fast the organization should move to implement them. In this course, you will learn how to create a governance strategy, examine security concerns, and realize how this will impact human resources.

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